1 | // Copyright 2011 Google Inc. All Rights Reserved. |
2 | // |
3 | // Use of this source code is governed by a BSD-style license |
4 | // that can be found in the COPYING file in the root of the source |
5 | // tree. An additional intellectual property rights grant can be found |
6 | // in the file PATENTS. All contributing project authors may |
7 | // be found in the AUTHORS file in the root of the source tree. |
8 | // ----------------------------------------------------------------------------- |
9 | // |
10 | // Spatial prediction using various filters |
11 | // |
12 | // Author: Urvang (urvang@google.com) |
13 | |
14 | #include "./dsp.h" |
15 | #include <assert.h> |
16 | #include <stdlib.h> |
17 | #include <string.h> |
18 | |
19 | //------------------------------------------------------------------------------ |
20 | // Helpful macro. |
21 | |
22 | # define SANITY_CHECK(in, out) \ |
23 | assert(in != NULL); \ |
24 | assert(out != NULL); \ |
25 | assert(width > 0); \ |
26 | assert(height > 0); \ |
27 | assert(stride >= width); \ |
28 | assert(row >= 0 && num_rows > 0 && row + num_rows <= height); \ |
29 | (void)height; // Silence unused warning. |
30 | |
31 | static WEBP_INLINE void PredictLine(const uint8_t* src, const uint8_t* pred, |
32 | uint8_t* dst, int length, int inverse) { |
33 | int i; |
34 | if (inverse) { |
35 | for (i = 0; i < length; ++i) dst[i] = src[i] + pred[i]; |
36 | } else { |
37 | for (i = 0; i < length; ++i) dst[i] = src[i] - pred[i]; |
38 | } |
39 | } |
40 | |
41 | //------------------------------------------------------------------------------ |
42 | // Horizontal filter. |
43 | |
44 | static WEBP_INLINE void DoHorizontalFilter(const uint8_t* in, |
45 | int width, int height, int stride, |
46 | int row, int num_rows, |
47 | int inverse, uint8_t* out) { |
48 | const uint8_t* preds; |
49 | const size_t start_offset = row * stride; |
50 | const int last_row = row + num_rows; |
51 | SANITY_CHECK(in, out); |
52 | in += start_offset; |
53 | out += start_offset; |
54 | preds = inverse ? out : in; |
55 | |
56 | if (row == 0) { |
57 | // Leftmost pixel is the same as input for topmost scanline. |
58 | out[0] = in[0]; |
59 | PredictLine(in + 1, preds, out + 1, width - 1, inverse); |
60 | row = 1; |
61 | preds += stride; |
62 | in += stride; |
63 | out += stride; |
64 | } |
65 | |
66 | // Filter line-by-line. |
67 | while (row < last_row) { |
68 | // Leftmost pixel is predicted from above. |
69 | PredictLine(in, preds - stride, out, 1, inverse); |
70 | PredictLine(in + 1, preds, out + 1, width - 1, inverse); |
71 | ++row; |
72 | preds += stride; |
73 | in += stride; |
74 | out += stride; |
75 | } |
76 | } |
77 | |
78 | //------------------------------------------------------------------------------ |
79 | // Vertical filter. |
80 | |
81 | static WEBP_INLINE void DoVerticalFilter(const uint8_t* in, |
82 | int width, int height, int stride, |
83 | int row, int num_rows, |
84 | int inverse, uint8_t* out) { |
85 | const uint8_t* preds; |
86 | const size_t start_offset = row * stride; |
87 | const int last_row = row + num_rows; |
88 | SANITY_CHECK(in, out); |
89 | in += start_offset; |
90 | out += start_offset; |
91 | preds = inverse ? out : in; |
92 | |
93 | if (row == 0) { |
94 | // Very first top-left pixel is copied. |
95 | out[0] = in[0]; |
96 | // Rest of top scan-line is left-predicted. |
97 | PredictLine(in + 1, preds, out + 1, width - 1, inverse); |
98 | row = 1; |
99 | in += stride; |
100 | out += stride; |
101 | } else { |
102 | // We are starting from in-between. Make sure 'preds' points to prev row. |
103 | preds -= stride; |
104 | } |
105 | |
106 | // Filter line-by-line. |
107 | while (row < last_row) { |
108 | PredictLine(in, preds, out, width, inverse); |
109 | ++row; |
110 | preds += stride; |
111 | in += stride; |
112 | out += stride; |
113 | } |
114 | } |
115 | |
116 | //------------------------------------------------------------------------------ |
117 | // Gradient filter. |
118 | |
119 | static WEBP_INLINE int GradientPredictor(uint8_t a, uint8_t b, uint8_t c) { |
120 | const int g = a + b - c; |
121 | return ((g & ~0xff) == 0) ? g : (g < 0) ? 0 : 255; // clip to 8bit |
122 | } |
123 | |
124 | static WEBP_INLINE void DoGradientFilter(const uint8_t* in, |
125 | int width, int height, int stride, |
126 | int row, int num_rows, |
127 | int inverse, uint8_t* out) { |
128 | const uint8_t* preds; |
129 | const size_t start_offset = row * stride; |
130 | const int last_row = row + num_rows; |
131 | SANITY_CHECK(in, out); |
132 | in += start_offset; |
133 | out += start_offset; |
134 | preds = inverse ? out : in; |
135 | |
136 | // left prediction for top scan-line |
137 | if (row == 0) { |
138 | out[0] = in[0]; |
139 | PredictLine(in + 1, preds, out + 1, width - 1, inverse); |
140 | row = 1; |
141 | preds += stride; |
142 | in += stride; |
143 | out += stride; |
144 | } |
145 | |
146 | // Filter line-by-line. |
147 | while (row < last_row) { |
148 | int w; |
149 | // leftmost pixel: predict from above. |
150 | PredictLine(in, preds - stride, out, 1, inverse); |
151 | for (w = 1; w < width; ++w) { |
152 | const int pred = GradientPredictor(preds[w - 1], |
153 | preds[w - stride], |
154 | preds[w - stride - 1]); |
155 | out[w] = in[w] + (inverse ? pred : -pred); |
156 | } |
157 | ++row; |
158 | preds += stride; |
159 | in += stride; |
160 | out += stride; |
161 | } |
162 | } |
163 | |
164 | #undef SANITY_CHECK |
165 | |
166 | //------------------------------------------------------------------------------ |
167 | |
168 | static void HorizontalFilter(const uint8_t* data, int width, int height, |
169 | int stride, uint8_t* filtered_data) { |
170 | DoHorizontalFilter(data, width, height, stride, 0, height, 0, filtered_data); |
171 | } |
172 | |
173 | static void VerticalFilter(const uint8_t* data, int width, int height, |
174 | int stride, uint8_t* filtered_data) { |
175 | DoVerticalFilter(data, width, height, stride, 0, height, 0, filtered_data); |
176 | } |
177 | |
178 | |
179 | static void GradientFilter(const uint8_t* data, int width, int height, |
180 | int stride, uint8_t* filtered_data) { |
181 | DoGradientFilter(data, width, height, stride, 0, height, 0, filtered_data); |
182 | } |
183 | |
184 | |
185 | //------------------------------------------------------------------------------ |
186 | |
187 | static void HorizontalUnfilter(const uint8_t* prev, const uint8_t* in, |
188 | uint8_t* out, int width) { |
189 | uint8_t pred = (prev == NULL) ? 0 : prev[0]; |
190 | int i; |
191 | for (i = 0; i < width; ++i) { |
192 | out[i] = pred + in[i]; |
193 | pred = out[i]; |
194 | } |
195 | } |
196 | |
197 | static void VerticalUnfilter(const uint8_t* prev, const uint8_t* in, |
198 | uint8_t* out, int width) { |
199 | if (prev == NULL) { |
200 | HorizontalUnfilter(NULL, in, out, width); |
201 | } else { |
202 | int i; |
203 | for (i = 0; i < width; ++i) out[i] = prev[i] + in[i]; |
204 | } |
205 | } |
206 | |
207 | static void GradientUnfilter(const uint8_t* prev, const uint8_t* in, |
208 | uint8_t* out, int width) { |
209 | if (prev == NULL) { |
210 | HorizontalUnfilter(NULL, in, out, width); |
211 | } else { |
212 | uint8_t top = prev[0], top_left = top, left = top; |
213 | int i; |
214 | for (i = 0; i < width; ++i) { |
215 | top = prev[i]; // need to read this first, in case prev==out |
216 | left = in[i] + GradientPredictor(left, top, top_left); |
217 | top_left = top; |
218 | out[i] = left; |
219 | } |
220 | } |
221 | } |
222 | |
223 | //------------------------------------------------------------------------------ |
224 | // Init function |
225 | |
226 | WebPFilterFunc WebPFilters[WEBP_FILTER_LAST]; |
227 | WebPUnfilterFunc WebPUnfilters[WEBP_FILTER_LAST]; |
228 | |
229 | extern void VP8FiltersInitMIPSdspR2(void); |
230 | extern void VP8FiltersInitMSA(void); |
231 | extern void VP8FiltersInitNEON(void); |
232 | extern void VP8FiltersInitSSE2(void); |
233 | |
234 | static volatile VP8CPUInfo filters_last_cpuinfo_used = |
235 | (VP8CPUInfo)&filters_last_cpuinfo_used; |
236 | |
237 | WEBP_TSAN_IGNORE_FUNCTION void VP8FiltersInit(void) { |
238 | if (filters_last_cpuinfo_used == VP8GetCPUInfo) return; |
239 | |
240 | WebPUnfilters[WEBP_FILTER_NONE] = NULL; |
241 | WebPUnfilters[WEBP_FILTER_HORIZONTAL] = HorizontalUnfilter; |
242 | WebPUnfilters[WEBP_FILTER_VERTICAL] = VerticalUnfilter; |
243 | WebPUnfilters[WEBP_FILTER_GRADIENT] = GradientUnfilter; |
244 | |
245 | WebPFilters[WEBP_FILTER_NONE] = NULL; |
246 | WebPFilters[WEBP_FILTER_HORIZONTAL] = HorizontalFilter; |
247 | WebPFilters[WEBP_FILTER_VERTICAL] = VerticalFilter; |
248 | WebPFilters[WEBP_FILTER_GRADIENT] = GradientFilter; |
249 | |
250 | if (VP8GetCPUInfo != NULL) { |
251 | #if defined(WEBP_USE_SSE2) |
252 | if (VP8GetCPUInfo(kSSE2)) { |
253 | VP8FiltersInitSSE2(); |
254 | } |
255 | #endif |
256 | #if defined(WEBP_USE_NEON) |
257 | if (VP8GetCPUInfo(kNEON)) { |
258 | VP8FiltersInitNEON(); |
259 | } |
260 | #endif |
261 | #if defined(WEBP_USE_MIPS_DSP_R2) |
262 | if (VP8GetCPUInfo(kMIPSdspR2)) { |
263 | VP8FiltersInitMIPSdspR2(); |
264 | } |
265 | #endif |
266 | #if defined(WEBP_USE_MSA) |
267 | if (VP8GetCPUInfo(kMSA)) { |
268 | VP8FiltersInitMSA(); |
269 | } |
270 | #endif |
271 | } |
272 | filters_last_cpuinfo_used = VP8GetCPUInfo; |
273 | } |
274 | |